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08/29/2023
A General-Purpose Self-Supervised Model for Computational Pathology
Tissue phenotyping is a fundamental computational pathology (CPath) task...
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07/27/2023
Weakly Supervised AI for Efficient Analysis of 3D Pathology Samples
Human tissue and its constituent cells form a microenvironment that is f...
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06/17/2022
Incorporating intratumoral heterogeneity into weakly-supervised deep learning models via variance pooling
Supervised learning tasks such as cancer survival prediction from gigapi...
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02/25/2022
High-Dimensional Sparse Bayesian Learning without Covariance Matrices
Sparse Bayesian learning (SBL) is a powerful framework for tackling the ...
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11/20/2021
Adaptive State-Space Multitaper Spectral Estimation
Short-time Fourier transform (STFT) is the most common window-based appr...
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10/10/2021
Mixture Model Auto-Encoders: Deep Clustering through Dictionary Learning
State-of-the-art approaches for clustering high-dimensional data utilize...
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05/21/2021
Covariance-Free Sparse Bayesian Learning
Sparse Bayesian learning (SBL) is a powerful framework for tackling the ...
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03/28/2021
Gaussian Process Convolutional Dictionary Learning
Convolutional dictionary learning (CDL), the problem of estimating shift...
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10/22/2020
PLSO: A generative framework for decomposing nonstationary timeseries into piecewise stationary oscillatory components
To capture the slowly time-varying spectral content of real-world time s...
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01/30/2020
Channel-Attention Dense U-Net for Multichannel Speech Enhancement
Supervised deep learning has gained significant attention for speech enh...
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07/22/2019
Fast Convolutional Dictionary Learning off the Grid
Given a continuous-time signal that can be modeled as the superposition ...
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07/07/2019
Deep Exponential-Family Auto-Encoders
We consider the problem of learning recurring convolutional patterns fro...
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06/06/2018
